Difference between revisions of "Group2 ProjectDeliverables"
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A Terenary plot is used for understanding the relative positioning of countries in terms of usage of Renewable, Hydro & Nuclear energy and non renewable energy sources. | A Terenary plot is used for understanding the relative positioning of countries in terms of usage of Renewable, Hydro & Nuclear energy and non renewable energy sources. | ||
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− | <i>Usage</i>: This plot at a glance helps in identifying countries that source their energy needs from renewables compared to non renewables etc. Also the bar chart of the absolute measure of the usage updates with the country selected in ternary chart to aid exploration and discovery. | + | <i>Usage</i>: This plot at a glance helps in identifying countries that source their energy needs from renewables compared to non renewables etc. Also the bar chart of the absolute measure of the usage updates with the country selected in ternary chart to aid exploration and discovery. Year slider lets user to visualize the positioning of the country each year. And a slide through years 2006-2017 helps in identifying if a country has taken a serious stand on adopting sustainable energy options. |
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<i>Critique</i>: Given that energy data logically can be divided in to three categories i.e non-renewable, hydor and nuclear and other renewables, ternary plot aids in plotting large number of countries. Dominant characters are identified and clusters emerge enabling classifications/identification of trends | <i>Critique</i>: Given that energy data logically can be divided in to three categories i.e non-renewable, hydor and nuclear and other renewables, ternary plot aids in plotting large number of countries. Dominant characters are identified and clusters emerge enabling classifications/identification of trends |
Revision as of 20:08, 11 August 2018
World Energy Production & Consumption: A Visual Study
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Contents
Motivation
Energy growth drives the well-being and prosperity across the globe. Growing demand for energy has to be met in a safe and environmentally conscious manner. Rapidly changing energy dynamics determine the course of our economic development, geopolitics, technological breakthroughs, massive investments and trade flows.
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Objective
Data visualization is often an after-thought for many of the practitioners who are collecting and analyzing data. And yet, without clear and compelling communication, analysis will never drive insights and action. Visualization can itself be used effectively in the process of insights discovery. Static visualization and reports do not allow for direct interaction with data, enhanced assimilation of information, quick access to relevant insights and drill-down analysis.
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About The Data Source
Critique of the Existing Visualizations
Visualizations available on the energy outlook reports consists of basic graph types such as bar, line and pie charts which are static in nature and do not facilitate any discovery apart from what they are made to deliver. A sample visualization is presented below:
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Dashboard Design
Global trend in Energy consumption for years 2006-2017 across energy types: Stacked Area Chart
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Some Useful Insights
From the Sunburst plot we can see that China produces 13.4% of the total energy of the world using Coal; Saudi Arabia produces 4.31% of the total energy of the World using Oil China, US & India are the top 3 countries in the Primary Energy Consumption in 2017 From the Geofacet plots we can see that China has been trying to reduce it's Coal consumption after 2012. If we look at Africa, Algeria has been able to reduce it's Coal consumption significantly over the years. The ternary plot shows us that the major energy source for Norway in terms of consumption is Hydro energy, which is a good indication. However, if we look at India, the major energy consumption is for Coal and Oil which are non-renewable sources of energy. US primarily consumes Oil, followed by Gas. |
Conclusion/Future Work
Data driven visualization and analysis on energy dataset reveals patterns in production/ consumption of energy across countries with time. The relative contribution of different energy resources in a country’s consumptions helps in quantifying the effort that the country puts in moving towards the sustainable energy initiative.
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R Packages Used
We have used the following R packages to come up with our visualizations: |
References
About BP: https://en.wikipedia.org/wiki/BP |